SSH MCP Server

Let AI manage your remote servers.A Model Context Protocol (MCP) server that gives AI assistants full SSH access — execute commands, transfer files, manage multiple servers simultaneously, all through natural conversation.

You: "Deploy the latest build to production server" AI: connects → uploads build → restarts service → verifies status

- 21 Tools— Connect, execute, upload, download, write files, and more
- Connection Pool— Operate multiple servers simultaneously, each command tagged withserver_id
- Zero-Token File Transfer— SFTP path-based transfer, file content never enters AI context
- Directory Upload— Auto tar.gz compress → upload → remote decompress (fast for many small files)
- Async Transfer + Progress— Background transfer for large files with real-time progress tracking
- Quick Connect— Temporary connections without saving config, returnshost:portas temp ID
- SOCKS4/5 Proxy— Per-connection proxy support
- Jump Host— SSH ProxyJump for bastion/gateway access
- Multi-Auth— Password, private key, ssh-agent, keyboard-interactive (OTP/2FA)

{ "mcpServers": { "sshmcp": { "command": "npx", "args": ["-y", "@nl4ever/sshmcp"] } } }

{ "sshmcp": { "command": "npx", "args": ["-y", "@nl4ever/sshmcp"] } }

Connection Pool: Multi-Server Operations

All operation tools take aserver_idparameter. The connection pool auto-manages connections — no manual connect/disconnect needed:

AI: execute(server_id="prod", command="nginx -s reload") ← auto-connects to prod AI: execute(server_id="dev", command="tail -f /var/log/app.log") ← auto-connects to dev, prod stays AI: execute(server_id="prod", command="curl localhost") ← reuses prod connection

For temporary servers, usequick_connectwhich returnshost:portas the ID:

AI: quick_connect(host="1.2.3.4", username="root", password="") → "Connected: root@1.2.3.4:22, use server_id="1.2.3.4:22"" AI: execute(server_id="1.2.3.4:22", command="df -h") AI: disconnect(server_id="1.2.3.4:22")

AI: upload_file(server_id="prod", local_path="big.tar.gz", remote_path="/data/", async_transfer=true) → "Background upload started: tf_1" AI: transfer_status("tf_1") → "🔄 Uploading: 638.2 MB / 1.2 GB (53.2%) — 12.4 MB/s, ETA 46s" AI: transfer_status("tf_1") → "✅ Upload complete: 1.2 GB, 98s, 12.3 MB/s"

AI: add_server(server_id="prod", name="Production", host="10.0.0.1", username="deploy", password="") AI: execute(server_id="prod", command="systemctl status nginx")

AI: add_server(server_id="aws", name="AWS EC2", host="ec2-xx.compute.amazonaws.com", username="ubuntu", private_key="~/.ssh/id_rsa")

AI: quick_connect(host="192.168.1.100", username="root", password="") → server_id="192.168.1.100:22" AI: execute(server_id="192.168.1.100:22", command="df -h") AI: disconnect(server_id="192.168.1.100:22")

AI: add_proxy(proxy_id="tunnel", name="SSH Tunnel", host="127.0.0.1", port=1080, type="5") AI: add_server(server_id="internal", ..., proxy="tunnel")

AI: add_server(server_id="bastion", name="Bastion", host="bastion.example.com", username="admin", private_key="~/.ssh/id_rsa") AI: add_server(server_id="internal", name="Internal DB", host="10.0.0.5", username="dbadmin", password="", jump_host="bastion")

Server and proxy configurations are stored in:

Passwords are stored in plaintext. For production use, prefer private key authentication.

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